Pandas Profiling Report

Dataset statistics

Number of variables	22
Number of observations	32950
Missing cells	21140
Missing cells (%)	2.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	22.4 MiB
Average record size in memory	713.3 B

Variable types

Numeric	12
Categorical	10

Alerts

`cons.conf.idx` is highly overall correlated with `month`	High correlation
`cons.price.idx` is highly overall correlated with `contact` and 2 other fields	High correlation
`contact` is highly overall correlated with `cons.price.idx` and 1 other fields	High correlation
`emp.var.rate` is highly overall correlated with `cons.price.idx` and 3 other fields	High correlation
`euribor3m` is highly overall correlated with `emp.var.rate` and 2 other fields	High correlation
`housing` is highly overall correlated with `loan`	High correlation
`loan` is highly overall correlated with `housing`	High correlation
`month` is highly overall correlated with `cons.conf.idx` and 4 other fields	High correlation
`nr.employed` is highly overall correlated with `emp.var.rate` and 1 other fields	High correlation
`pastEmail` is highly overall correlated with `previous`	High correlation
`pdays` is highly overall correlated with `pmonths` and 2 other fields	High correlation
`pmonths` is highly overall correlated with `pdays` and 2 other fields	High correlation
`poutcome` is highly overall correlated with `pdays` and 1 other fields	High correlation
`previous` is highly overall correlated with `pastEmail` and 2 other fields	High correlation
`default` is highly imbalanced (52.9%)	Imbalance
`loan` is highly imbalanced (51.3%)	Imbalance
`poutcome` is highly imbalanced (57.1%)	Imbalance
`custAge` has 8042 (24.4%) missing values	Missing
`schooling` has 9770 (29.7%) missing values	Missing
`day_of_week` has 3328 (10.1%) missing values	Missing
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`previous` has 28503 (86.5%) zeros	Zeros
`pastEmail` has 29120 (88.4%) zeros	Zeros

Reproduction

Analysis started	2024-09-05 16:01:53.096747
Analysis finished	2024-09-05 16:03:14.172401
Duration	1 minute and 21.08 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

custAge
Real number (ℝ)

MISSING

Distinct	75
Distinct (%)	0.3%
Missing	8042
Missing (%)	24.4%
Infinite	0
Infinite (%)	0.0%
Mean	40.035852

Minimum	17
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	17
5-th percentile	26
Q1	32
median	38
Q3	47
95-th percentile	58
Maximum	98
Range	81
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.425448
Coefficient of variation (CV)	0.2604028
Kurtosis	0.72729411
Mean	40.035852
Median Absolute Deviation (MAD)	7
Skewness	0.76325998
Sum	997213
Variance	108.68997
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	1152	3.5%
32	1137	3.5%
33	1100	3.3%
36	1081	3.3%
35	1041	3.2%
34	1040	3.2%
30	1014	3.1%
37	891	2.7%
29	880	2.7%
39	865	2.6%
Other values (65)	14707	44.6%
(Missing)	8042	24.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	4	< 0.1%
18	18	0.1%
19	26	0.1%
20	44	0.1%
21	66	0.2%
22	74	0.2%
23	143	0.4%
24	293	0.9%
25	374	1.1%
26	432	1.3%

Value	Count	Frequency (%)
98	2	< 0.1%
92	2	< 0.1%
91	1	< 0.1%
89	1	< 0.1%
88	15	< 0.1%
86	7	< 0.1%
85	7	< 0.1%
84	4	< 0.1%
83	7	< 0.1%
82	9	< 0.1%

profession
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

admin.	8320
blue-collar	7407
technician	5392
services	3177
management	2341
Other values (7)	6313

Length

Max length	13
Median length	12
Mean length	8.9548407
Min length	6

Characters and Unicode

Total characters	295062
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	admin.
2nd row	services
3rd row	blue-collar
4th row	admin.
5th row	services

Common Values

Value	Count	Frequency (%)
admin.	8320	25.3%
blue-collar	7407	22.5%
technician	5392	16.4%
services	3177	9.6%
management	2341	7.1%
retired	1383	4.2%
self-employed	1142	3.5%
entrepreneur	1142	3.5%
housemaid	847	2.6%
unemployed	824	2.5%
Other values (2)	975	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
admin	8320	25.3%
blue-collar	7407	22.5%
technician	5392	16.4%
services	3177	9.6%
management	2341	7.1%
retired	1383	4.2%
self-employed	1142	3.5%
entrepreneur	1142	3.5%
housemaid	847	2.6%
unemployed	824	2.5%
Other values (2)	975	3.0%

Most occurring characters

Value	Count	Frequency (%)
e	37806	12.8%
n	28387	9.6%
a	26648	9.0%
l	25329	8.6%
i	24511	8.3%
c	21368	7.2%
r	16776	5.7%
m	15815	5.4%
d	13232	4.5%
t	11690	4.0%
Other values (14)	73500	24.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278193	94.3%
Dash Punctuation	8549	2.9%
Other Punctuation	8320	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	37806	13.6%
n	28387	10.2%
a	26648	9.6%
l	25329	9.1%
i	24511	8.8%
c	21368	7.7%
r	16776	6.0%
m	15815	5.7%
d	13232	4.8%
t	11690	4.2%
Other values (12)	56631	20.4%

Dash Punctuation

Value	Count	Frequency (%)
-	8549	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	8320	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	278193	94.3%
Common	16869	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	37806	13.6%
n	28387	10.2%
a	26648	9.6%
l	25329	9.1%
i	24511	8.8%
c	21368	7.7%
r	16776	6.0%
m	15815	5.7%
d	13232	4.8%
t	11690	4.2%
Other values (12)	56631	20.4%

Common

Value	Count	Frequency (%)
-	8549	50.7%
.	8320	49.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	295062	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	37806	12.8%
n	28387	9.6%
a	26648	9.0%
l	25329	8.6%
i	24511	8.3%
c	21368	7.2%
r	16776	5.7%
m	15815	5.4%
d	13232	4.5%
t	11690	4.0%
Other values (14)	73500	24.9%

marital
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

married	19971
single	9229
divorced	3680
unknown	70

Length

Max length	8
Median length	7
Mean length	6.8315933
Min length	6

Characters and Unicode

Total characters	225101
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	married
2nd row	married
3rd row	married
4th row	single
5th row	divorced

Common Values

Value	Count	Frequency (%)
married	19971	60.6%
single	9229	28.0%
divorced	3680	11.2%
unknown	70	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	19971	60.6%
single	9229	28.0%
divorced	3680	11.2%
unknown	70	0.2%

Most occurring characters

Value	Count	Frequency (%)
r	43622	19.4%
i	32880	14.6%
e	32880	14.6%
d	27331	12.1%
m	19971	8.9%
a	19971	8.9%
n	9439	4.2%
s	9229	4.1%
g	9229	4.1%
l	9229	4.1%
Other values (6)	11320	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	225101	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	43622	19.4%
i	32880	14.6%
e	32880	14.6%
d	27331	12.1%
m	19971	8.9%
a	19971	8.9%
n	9439	4.2%
s	9229	4.1%
g	9229	4.1%
l	9229	4.1%
Other values (6)	11320	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	225101	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	43622	19.4%
i	32880	14.6%
e	32880	14.6%
d	27331	12.1%
m	19971	8.9%
a	19971	8.9%
n	9439	4.2%
s	9229	4.1%
g	9229	4.1%
l	9229	4.1%
Other values (6)	11320	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	225101	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	43622	19.4%
i	32880	14.6%
e	32880	14.6%
d	27331	12.1%
m	19971	8.9%
a	19971	8.9%
n	9439	4.2%
s	9229	4.1%
g	9229	4.1%
l	9229	4.1%
Other values (6)	11320	5.0%

schooling
Categorical

MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	9770
Missing (%)	29.7%
Memory size	1.8 MiB

university.degree	6868
high.school	5335
basic.9y	3432
professional.course	2951
basic.4y	2330
Other values (3)	2264

Length

Max length	19
Median length	17
Mean length	12.717472
Min length	7

Characters and Unicode

Total characters	294791
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	high.school
2nd row	professional.course
3rd row	university.degree
4th row	high.school
5th row	basic.4y

Common Values

Value	Count	Frequency (%)
university.degree	6868	20.8%
high.school	5335	16.2%
basic.9y	3432	10.4%
professional.course	2951	9.0%
basic.4y	2330	7.1%
basic.6y	1292	3.9%
unknown	957	2.9%
illiterate	15	< 0.1%
(Missing)	9770	29.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
university.degree	6868	29.6%
high.school	5335	23.0%
basic.9y	3432	14.8%
professional.course	2951	12.7%
basic.4y	2330	10.1%
basic.6y	1292	5.6%
unknown	957	4.1%
illiterate	15	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	33404	11.3%
i	29106	9.9%
s	28110	9.5%
.	22208	7.5%
o	20480	6.9%
r	19653	6.7%
h	16005	5.4%
c	15340	5.2%
y	13922	4.7%
n	12690	4.3%
Other values (15)	83873	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	265529	90.1%
Other Punctuation	22208	7.5%
Decimal Number	7054	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	33404	12.6%
i	29106	11.0%
s	28110	10.6%
o	20480	7.7%
r	19653	7.4%
h	16005	6.0%
c	15340	5.8%
y	13922	5.2%
n	12690	4.8%
g	12203	4.6%
Other values (11)	64616	24.3%

Decimal Number

Value	Count	Frequency (%)
9	3432	48.7%
4	2330	33.0%
6	1292	18.3%

Other Punctuation

Value	Count	Frequency (%)
.	22208	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	265529	90.1%
Common	29262	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	33404	12.6%
i	29106	11.0%
s	28110	10.6%
o	20480	7.7%
r	19653	7.4%
h	16005	6.0%
c	15340	5.8%
y	13922	5.2%
n	12690	4.8%
g	12203	4.6%
Other values (11)	64616	24.3%

Common

Value	Count	Frequency (%)
.	22208	75.9%
9	3432	11.7%
4	2330	8.0%
6	1292	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	294791	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	33404	11.3%
i	29106	9.9%
s	28110	9.5%
.	22208	7.5%
o	20480	6.9%
r	19653	6.7%
h	16005	5.4%
c	15340	5.2%
y	13922	4.7%
n	12690	4.3%
Other values (15)	83873	28.5%

default
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

no	25969
unknown	6979
yes	2

Length

Max length	7
Median length	2
Mean length	3.0590895
Min length	2

Characters and Unicode

Total characters	100797
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	unknown
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	25969	78.8%
unknown	6979	21.2%
yes	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	25969	78.8%
unknown	6979	21.2%
yes	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	46906	46.5%
o	32948	32.7%
u	6979	6.9%
k	6979	6.9%
w	6979	6.9%
y	2	< 0.1%
e	2	< 0.1%
s	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100797	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	46906	46.5%
o	32948	32.7%
u	6979	6.9%
k	6979	6.9%
w	6979	6.9%
y	2	< 0.1%
e	2	< 0.1%
s	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100797	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	46906	46.5%
o	32948	32.7%
u	6979	6.9%
k	6979	6.9%
w	6979	6.9%
y	2	< 0.1%
e	2	< 0.1%
s	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100797	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	46906	46.5%
o	32948	32.7%
u	6979	6.9%
k	6979	6.9%
w	6979	6.9%
y	2	< 0.1%
e	2	< 0.1%
s	2	< 0.1%

housing
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

yes	17276
no	14868
unknown	806

Length

Max length	7
Median length	3
Mean length	2.6466161
Min length	2

Characters and Unicode

Total characters	87206
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	yes
4th row	no
5th row	yes

Common Values

Value	Count	Frequency (%)
yes	17276	52.4%
no	14868	45.1%
unknown	806	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	17276	52.4%
no	14868	45.1%
unknown	806	2.4%

Most occurring characters

Value	Count	Frequency (%)
n	17286	19.8%
y	17276	19.8%
e	17276	19.8%
s	17276	19.8%
o	15674	18.0%
u	806	0.9%
k	806	0.9%
w	806	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	87206	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	17286	19.8%
y	17276	19.8%
e	17276	19.8%
s	17276	19.8%
o	15674	18.0%
u	806	0.9%
k	806	0.9%
w	806	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87206	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	17286	19.8%
y	17276	19.8%
e	17276	19.8%
s	17276	19.8%
o	15674	18.0%
u	806	0.9%
k	806	0.9%
w	806	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87206	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	17286	19.8%
y	17276	19.8%
e	17276	19.8%
s	17276	19.8%
o	15674	18.0%
u	806	0.9%
k	806	0.9%
w	806	0.9%

loan
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

no	27175
yes	4969
unknown	806

Length

Max length	7
Median length	2
Mean length	2.2731108
Min length	2

Characters and Unicode

Total characters	74899
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	27175	82.5%
yes	4969	15.1%
unknown	806	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	27175	82.5%
yes	4969	15.1%
unknown	806	2.4%

Most occurring characters

Value	Count	Frequency (%)
n	29593	39.5%
o	27981	37.4%
y	4969	6.6%
e	4969	6.6%
s	4969	6.6%
u	806	1.1%
k	806	1.1%
w	806	1.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	74899	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	29593	39.5%
o	27981	37.4%
y	4969	6.6%
e	4969	6.6%
s	4969	6.6%
u	806	1.1%
k	806	1.1%
w	806	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	74899	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	29593	39.5%
o	27981	37.4%
y	4969	6.6%
e	4969	6.6%
s	4969	6.6%
u	806	1.1%
k	806	1.1%
w	806	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	74899	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	29593	39.5%
o	27981	37.4%
y	4969	6.6%
e	4969	6.6%
s	4969	6.6%
u	806	1.1%
k	806	1.1%
w	806	1.1%

contact
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

cellular	20901
telephone	12049

Length

Max length	9
Median length	8
Mean length	8.3656753
Min length	8

Characters and Unicode

Total characters	275649
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	cellular
2nd row	cellular
3rd row	cellular
4th row	cellular
5th row	cellular

Common Values

Value	Count	Frequency (%)
cellular	20901	63.4%
telephone	12049	36.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cellular	20901	63.4%
telephone	12049	36.6%

Most occurring characters

Value	Count	Frequency (%)
l	74752	27.1%
e	57048	20.7%
c	20901	7.6%
u	20901	7.6%
a	20901	7.6%
r	20901	7.6%
t	12049	4.4%
p	12049	4.4%
h	12049	4.4%
o	12049	4.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	275649	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	74752	27.1%
e	57048	20.7%
c	20901	7.6%
u	20901	7.6%
a	20901	7.6%
r	20901	7.6%
t	12049	4.4%
p	12049	4.4%
h	12049	4.4%
o	12049	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	275649	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	74752	27.1%
e	57048	20.7%
c	20901	7.6%
u	20901	7.6%
a	20901	7.6%
r	20901	7.6%
t	12049	4.4%
p	12049	4.4%
h	12049	4.4%
o	12049	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	275649	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	74752	27.1%
e	57048	20.7%
c	20901	7.6%
u	20901	7.6%
a	20901	7.6%
r	20901	7.6%
t	12049	4.4%
p	12049	4.4%
h	12049	4.4%
o	12049	4.4%

month
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

may	10955
jul	5822
aug	4937
jun	4263
nov	3288
Other values (5)	3685

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	98850
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sep
2nd row	sep
3rd row	may
4th row	aug
5th row	nov

Common Values

Value	Count	Frequency (%)
may	10955	33.2%
jul	5822	17.7%
aug	4937	15.0%
jun	4263	12.9%
nov	3288	10.0%
apr	2081	6.3%
oct	562	1.7%
sep	449	1.4%
mar	440	1.3%
dec	153	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
may	10955	33.2%
jul	5822	17.7%
aug	4937	15.0%
jun	4263	12.9%
nov	3288	10.0%
apr	2081	6.3%
oct	562	1.7%
sep	449	1.4%
mar	440	1.3%
dec	153	0.5%

Most occurring characters

Value	Count	Frequency (%)
a	18413	18.6%
u	15022	15.2%
m	11395	11.5%
y	10955	11.1%
j	10085	10.2%
n	7551	7.6%
l	5822	5.9%
g	4937	5.0%
o	3850	3.9%
v	3288	3.3%
Other values (7)	7532	7.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98850	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	18413	18.6%
u	15022	15.2%
m	11395	11.5%
y	10955	11.1%
j	10085	10.2%
n	7551	7.6%
l	5822	5.9%
g	4937	5.0%
o	3850	3.9%
v	3288	3.3%
Other values (7)	7532	7.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98850	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	18413	18.6%
u	15022	15.2%
m	11395	11.5%
y	10955	11.1%
j	10085	10.2%
n	7551	7.6%
l	5822	5.9%
g	4937	5.0%
o	3850	3.9%
v	3288	3.3%
Other values (7)	7532	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	18413	18.6%
u	15022	15.2%
m	11395	11.5%
y	10955	11.1%
j	10085	10.2%
n	7551	7.6%
l	5822	5.9%
g	4937	5.0%
o	3850	3.9%
v	3288	3.3%
Other values (7)	7532	7.6%

day_of_week
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	3328
Missing (%)	10.1%
Memory size	1.8 MiB

thu	6196
mon	6038
wed	5883
tue	5809
fri	5696

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	88866
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	wed
2nd row	tue
3rd row	thu
4th row	wed
5th row	tue

Common Values

Value	Count	Frequency (%)
thu	6196	18.8%
mon	6038	18.3%
wed	5883	17.9%
tue	5809	17.6%
fri	5696	17.3%
(Missing)	3328	10.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
thu	6196	20.9%
mon	6038	20.4%
wed	5883	19.9%
tue	5809	19.6%
fri	5696	19.2%

Most occurring characters

Value	Count	Frequency (%)
t	12005	13.5%
u	12005	13.5%
e	11692	13.2%
h	6196	7.0%
m	6038	6.8%
o	6038	6.8%
n	6038	6.8%
w	5883	6.6%
d	5883	6.6%
f	5696	6.4%
Other values (2)	11392	12.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	88866	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	12005	13.5%
u	12005	13.5%
e	11692	13.2%
h	6196	7.0%
m	6038	6.8%
o	6038	6.8%
n	6038	6.8%
w	5883	6.6%
d	5883	6.6%
f	5696	6.4%
Other values (2)	11392	12.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88866	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	12005	13.5%
u	12005	13.5%
e	11692	13.2%
h	6196	7.0%
m	6038	6.8%
o	6038	6.8%
n	6038	6.8%
w	5883	6.6%
d	5883	6.6%
f	5696	6.4%
Other values (2)	11392	12.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	88866	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	12005	13.5%
u	12005	13.5%
e	11692	13.2%
h	6196	7.0%
m	6038	6.8%
o	6038	6.8%
n	6038	6.8%
w	5883	6.6%
d	5883	6.6%
f	5696	6.4%
Other values (2)	11392	12.8%

campaign
Real number (ℝ)

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5765706

Minimum	1
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	56
Range	55
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.784839
Coefficient of variation (CV)	1.0808316
Kurtosis	36.8918
Mean	2.5765706
Median Absolute Deviation (MAD)	1
Skewness	4.7473925
Sum	84898
Variance	7.7553283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
1	14100	42.8%
2	8411	25.5%
3	4296	13.0%
4	2109	6.4%
5	1314	4.0%
6	774	2.3%
7	516	1.6%
8	327	1.0%
9	213	0.6%
10	185	0.6%
Other values (31)	705	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	14100	42.8%
2	8411	25.5%
3	4296	13.0%
4	2109	6.4%
5	1314	4.0%
6	774	2.3%
7	516	1.6%
8	327	1.0%
9	213	0.6%
10	185	0.6%

Value	Count	Frequency (%)
56	1	< 0.1%
43	2	< 0.1%
42	2	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
37	1	< 0.1%
35	4	< 0.1%
34	2	< 0.1%
33	2	< 0.1%
32	4	< 0.1%

pdays
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	962.86519

Minimum	0
Maximum	999
Zeros	12
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	999
median	999
Q3	999
95-th percentile	999
Maximum	999
Range	999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	185.95368
Coefficient of variation (CV)	0.19312535
Kurtosis	22.524221
Mean	962.86519
Median Absolute Deviation (MAD)	0
Skewness	-4.9520123
Sum	31726408
Variance	34578.77
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
999	31751	96.4%
3	353	1.1%
6	322	1.0%
4	93	0.3%
2	48	0.1%
9	47	0.1%
12	46	0.1%
7	44	0.1%
10	44	0.1%
5	39	0.1%
Other values (16)	163	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	< 0.1%
1	22	0.1%
2	48	0.1%
3	353	1.1%
4	93	0.3%
5	39	0.1%
6	322	1.0%
7	44	0.1%
8	15	< 0.1%
9	47	0.1%

Value	Count	Frequency (%)
999	31751	96.4%
27	1	< 0.1%
26	1	< 0.1%
22	2	< 0.1%
21	1	< 0.1%
20	1	< 0.1%
19	2	< 0.1%
18	7	< 0.1%
17	6	< 0.1%
16	7	< 0.1%

previous
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.17044006

Minimum	0
Maximum	7
Zeros	28503
Zeros (%)	86.5%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.48993043
Coefficient of variation (CV)	2.8745028
Kurtosis	20.026123
Mean	0.17044006
Median Absolute Deviation (MAD)	0
Skewness	3.8277984
Sum	5616
Variance	0.24003183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	28503	86.5%
1	3614	11.0%
2	589	1.8%
3	173	0.5%
4	56	0.2%
5	10	< 0.1%
6	4	< 0.1%
7	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28503	86.5%
1	3614	11.0%
2	589	1.8%
3	173	0.5%
4	56	0.2%
5	10	< 0.1%
6	4	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
6	4	< 0.1%
5	10	< 0.1%
4	56	0.2%
3	173	0.5%
2	589	1.8%
1	3614	11.0%
0	28503	86.5%

poutcome
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

nonexistent	28503
failure	3357
success	1090

Length

Max length	11
Median length	11
Mean length	10.460152
Min length	7

Characters and Unicode

Total characters	344662
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	failure
2nd row	success
3rd row	failure
4th row	nonexistent
5th row	nonexistent

Common Values

Value	Count	Frequency (%)
nonexistent	28503	86.5%
failure	3357	10.2%
success	1090	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
nonexistent	28503	86.5%
failure	3357	10.2%
success	1090	3.3%

Most occurring characters

Value	Count	Frequency (%)
n	85509	24.8%
e	61453	17.8%
t	57006	16.5%
i	31860	9.2%
s	31773	9.2%
o	28503	8.3%
x	28503	8.3%
u	4447	1.3%
f	3357	1.0%
a	3357	1.0%
Other values (3)	8894	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	344662	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	85509	24.8%
e	61453	17.8%
t	57006	16.5%
i	31860	9.2%
s	31773	9.2%
o	28503	8.3%
x	28503	8.3%
u	4447	1.3%
f	3357	1.0%
a	3357	1.0%
Other values (3)	8894	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	344662	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	85509	24.8%
e	61453	17.8%
t	57006	16.5%
i	31860	9.2%
s	31773	9.2%
o	28503	8.3%
x	28503	8.3%
u	4447	1.3%
f	3357	1.0%
a	3357	1.0%
Other values (3)	8894	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	344662	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	85509	24.8%
e	61453	17.8%
t	57006	16.5%
i	31860	9.2%
s	31773	9.2%
o	28503	8.3%
x	28503	8.3%
u	4447	1.3%
f	3357	1.0%
a	3357	1.0%
Other values (3)	8894	2.6%

emp.var.rate
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.088257967

Minimum	-3.4
Maximum	1.4
Zeros	0
Zeros (%)	0.0%
Negative	13668
Negative (%)	41.5%
Memory size	257.6 KiB

Quantile statistics

Minimum	-3.4
5-th percentile	-2.9
Q1	-1.8
median	1.1
Q3	1.4
95-th percentile	1.4
Maximum	1.4
Range	4.8
Interquartile range (IQR)	3.2

Descriptive statistics

Standard deviation	1.5720194
Coefficient of variation (CV)	17.811643
Kurtosis	-1.043921
Mean	0.088257967
Median Absolute Deviation (MAD)	0.3
Skewness	-0.73639982
Sum	2908.1
Variance	2.4712449
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.4	13068	39.7%
-1.8	7262	22.0%
1.1	6214	18.9%
-0.1	2944	8.9%
-2.9	1345	4.1%
-3.4	868	2.6%
-1.7	609	1.8%
-1.1	487	1.5%
-3	144	0.4%
-0.2	9	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3.4	868	2.6%
-3	144	0.4%
-2.9	1345	4.1%
-1.8	7262	22.0%
-1.7	609	1.8%
-1.1	487	1.5%
-0.2	9	< 0.1%
-0.1	2944	8.9%
1.1	6214	18.9%
1.4	13068	39.7%

Value	Count	Frequency (%)
1.4	13068	39.7%
1.1	6214	18.9%
-0.1	2944	8.9%
-0.2	9	< 0.1%
-1.1	487	1.5%
-1.7	609	1.8%
-1.8	7262	22.0%
-2.9	1345	4.1%
-3	144	0.4%
-3.4	868	2.6%

cons.price.idx
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.576836

Minimum	92.201
Maximum	94.767
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	92.201
5-th percentile	92.713
Q1	93.075
median	93.798
Q3	93.994
95-th percentile	94.465
Maximum	94.767
Range	2.566
Interquartile range (IQR)	0.919

Descriptive statistics

Standard deviation	0.57885731
Coefficient of variation (CV)	0.0061859038
Kurtosis	-0.81977742
Mean	93.576836
Median Absolute Deviation (MAD)	0.354
Skewness	-0.24226999
Sum	3083356.8
Variance	0.33507578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
93.994	6214	18.9%
93.918	5437	16.5%
92.893	4566	13.9%
93.444	4124	12.5%
94.465	3507	10.6%
93.2	2896	8.8%
93.075	1943	5.9%
92.201	628	1.9%
92.963	572	1.7%
92.431	352	1.1%
Other values (16)	2711	8.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
92.201	628	1.9%
92.379	219	0.7%
92.431	352	1.1%
92.469	145	0.4%
92.649	297	0.9%
92.713	144	0.4%
92.756	9	< 0.1%
92.843	225	0.7%
92.893	4566	13.9%
92.963	572	1.7%

Value	Count	Frequency (%)
94.767	95	0.3%
94.601	162	0.5%
94.465	3507	10.6%
94.215	240	0.7%
94.199	230	0.7%
94.055	184	0.6%
94.027	185	0.6%
93.994	6214	18.9%
93.918	5437	16.5%
93.876	175	0.5%

cons.conf.idx
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-40.483772

Minimum	-50.8
Maximum	-26.9
Zeros	0
Zeros (%)	0.0%
Negative	32950
Negative (%)	100.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	-50.8
5-th percentile	-47.1
Q1	-42.7
median	-41.8
Q3	-36.4
95-th percentile	-33.6
Maximum	-26.9
Range	23.9
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.6225847
Coefficient of variation (CV)	-0.11418364
Kurtosis	-0.35684683
Mean	-40.483772
Median Absolute Deviation (MAD)	4.4
Skewness	0.30584544
Sum	-1333940.3
Variance	21.368289
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
-36.4	6214	18.9%
-42.7	5437	16.5%
-46.2	4566	13.9%
-36.1	4124	12.5%
-41.8	3507	10.6%
-42	2896	8.8%
-47.1	1943	5.9%
-31.4	628	1.9%
-40.8	572	1.7%
-26.9	352	1.1%
Other values (16)	2711	8.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-50.8	95	0.3%
-50	225	0.7%
-49.5	162	0.5%
-47.1	1943	5.9%
-46.2	4566	13.9%
-45.9	9	< 0.1%
-42.7	5437	16.5%
-42	2896	8.8%
-41.8	3507	10.6%
-40.8	572	1.7%

Value	Count	Frequency (%)
-26.9	352	1.1%
-29.8	219	0.7%
-30.1	297	0.9%
-31.4	628	1.9%
-33	144	0.4%
-33.6	145	0.4%
-34.6	138	0.4%
-34.8	215	0.7%
-36.1	4124	12.5%
-36.4	6214	18.9%

euribor3m
Real number (ℝ)

HIGH CORRELATION

Distinct	312
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6298817

Minimum	0.634
Maximum	5.045
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	0.634
5-th percentile	0.79
Q1	1.344
median	4.857
Q3	4.961
95-th percentile	4.966
Maximum	5.045
Range	4.411
Interquartile range (IQR)	3.617

Descriptive statistics

Standard deviation	1.732277
Coefficient of variation (CV)	0.47722685
Kurtosis	-1.3889605
Mean	3.6298817
Median Absolute Deviation (MAD)	0.107
Skewness	-0.72113517
Sum	119604.6
Variance	3.0007836
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.857	2265	6.9%
4.962	2127	6.5%
4.963	1999	6.1%
4.961	1525	4.6%
4.856	988	3.0%
1.405	945	2.9%
4.964	931	2.8%
4.965	878	2.7%
4.864	834	2.5%
4.96	805	2.4%
Other values (302)	19653	59.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.634	6	< 0.1%
0.635	35	0.1%
0.636	9	< 0.1%
0.637	3	< 0.1%
0.638	4	< 0.1%
0.639	12	< 0.1%
0.64	7	< 0.1%
0.642	25	0.1%
0.643	20	0.1%
0.644	31	0.1%

Value	Count	Frequency (%)
5.045	5	< 0.1%
5	5	< 0.1%
4.97	127	0.4%
4.968	793	2.4%
4.967	512	1.6%
4.966	490	1.5%
4.965	878	2.7%
4.964	931	2.8%
4.963	1999	6.1%
4.962	2127	6.5%

nr.employed
Real number (ℝ)

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5167.4009

Minimum	4963.6
Maximum	5228.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	4963.6
5-th percentile	5017.5
Q1	5099.1
median	5191
Q3	5228.1
95-th percentile	5228.1
Maximum	5228.1
Range	264.5
Interquartile range (IQR)	129

Descriptive statistics

Standard deviation	72.128548
Coefficient of variation (CV)	0.01395838
Kurtosis	0.0027408101
Mean	5167.4009
Median Absolute Deviation (MAD)	37.1
Skewness	-1.0505836
Sum	1.7026586 × 10⁸
Variance	5202.5274
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5228.1	13068	39.7%
5099.1	6734	20.4%
5191	6214	18.9%
5195.8	2944	8.9%
5076.2	1345	4.1%
5017.5	868	2.6%
4991.6	609	1.8%
5008.7	528	1.6%
4963.6	487	1.5%
5023.5	144	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4963.6	487	1.5%
4991.6	609	1.8%
5008.7	528	1.6%
5017.5	868	2.6%
5023.5	144	0.4%
5076.2	1345	4.1%
5099.1	6734	20.4%
5176.3	9	< 0.1%
5191	6214	18.9%
5195.8	2944	8.9%

Value	Count	Frequency (%)
5228.1	13068	39.7%
5195.8	2944	8.9%
5191	6214	18.9%
5176.3	9	< 0.1%
5099.1	6734	20.4%
5076.2	1345	4.1%
5023.5	144	0.4%
5017.5	868	2.6%
5008.7	528	1.6%
4991.6	609	1.8%

pmonths
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	962.65516

Minimum	0
Maximum	999
Zeros	12
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	999
median	999
Q3	999
95-th percentile	999
Maximum	999
Range	999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	187.03308
Coefficient of variation (CV)	0.19428876
Kurtosis	22.522598
Mean	962.65516
Median Absolute Deviation (MAD)	0
Skewness	-4.9518916
Sum	31719488
Variance	34981.373
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
999	31751	96.4%
0.1	353	1.1%
0.2	322	1.0%
0.1333333333	93	0.3%
0.06666666667	48	0.1%
0.3	47	0.1%
0.4	46	0.1%
0.2333333333	44	0.1%
0.3333333333	44	0.1%
0.1666666667	39	0.1%
Other values (16)	163	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	< 0.1%
0.03333333333	22	0.1%
0.06666666667	48	0.1%
0.1	353	1.1%
0.1333333333	93	0.3%
0.1666666667	39	0.1%
0.2	322	1.0%
0.2333333333	44	0.1%
0.2666666667	15	< 0.1%
0.3	47	0.1%

Value	Count	Frequency (%)
999	31751	96.4%
0.9	1	< 0.1%
0.8666666667	1	< 0.1%
0.7333333333	2	< 0.1%
0.7	1	< 0.1%
0.6666666667	1	< 0.1%
0.6333333333	2	< 0.1%
0.6	7	< 0.1%
0.5666666667	6	< 0.1%
0.5333333333	7	< 0.1%

pastEmail
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	21
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.34172989

Minimum	0
Maximum	28
Zeros	29120
Zeros (%)	88.4%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	28
Range	28
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.2460764
Coefficient of variation (CV)	3.646378
Kurtosis	64.958038
Mean	0.34172989
Median Absolute Deviation (MAD)	0
Skewness	6.3888733
Sum	11260
Variance	1.5527063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	29120	88.4%
2	1107	3.4%
1	979	3.0%
3	735	2.2%
4	490	1.5%
6	197	0.6%
5	121	0.4%
8	65	0.2%
12	37	0.1%
9	32	0.1%
Other values (11)	67	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	29120	88.4%
1	979	3.0%
2	1107	3.4%
3	735	2.2%
4	490	1.5%
5	121	0.4%
6	197	0.6%
7	14	< 0.1%
8	65	0.2%
9	32	0.1%

Value	Count	Frequency (%)
28	1	< 0.1%
25	1	< 0.1%
24	2	< 0.1%
21	2	< 0.1%
20	3	< 0.1%
18	6	< 0.1%
16	5	< 0.1%
15	8	< 0.1%
14	1	< 0.1%
12	37	0.1%

id
Real number (ℝ)

UNIFORM UNIQUE

Distinct	32950
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16475.5

Minimum	1
Maximum	32950
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1648.45
Q1	8238.25
median	16475.5
Q3	24712.75
95-th percentile	31302.55
Maximum	32950
Range	32949
Interquartile range (IQR)	16474.5

Descriptive statistics

Standard deviation	9511.99
Coefficient of variation (CV)	0.57734151
Kurtosis	-1.2
Mean	16475.5
Median Absolute Deviation (MAD)	8237.5
Skewness	0
Sum	5.4286772 × 10⁸
Variance	90477954
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
22010	1	< 0.1%
21976	1	< 0.1%
21975	1	< 0.1%
21974	1	< 0.1%
21973	1	< 0.1%
21972	1	< 0.1%
21971	1	< 0.1%
21970	1	< 0.1%
21969	1	< 0.1%
Other values (32940)	32940	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
32950	1	< 0.1%
32949	1	< 0.1%
32948	1	< 0.1%
32947	1	< 0.1%
32946	1	< 0.1%
32945	1	< 0.1%
32944	1	< 0.1%
32943	1	< 0.1%
32942	1	< 0.1%
32941	1	< 0.1%

Auto

Heatmap
Table

	campaign	cons.conf.idx	cons.price.idx	contact	custAge	day_of_week	default	emp.var.rate	euribor3m	housing	id	loan	marital	month	nr.employed	pastEmail	pdays	pmonths	poutcome	previous	profession	schooling
campaign	1.000	0.001	0.095	0.061	0.006	0.016	0.018	0.158	0.144	0.024	0.009	0.024	0.005	0.047	0.146	-0.083	0.060	0.060	0.048	-0.091	0.000	0.000
cons.conf.idx	0.001	1.000	0.240	0.417	0.114	0.044	0.140	0.214	0.228	0.042	-0.006	0.009	0.076	0.600	0.123	-0.105	-0.079	-0.079	0.369	-0.111	0.111	0.064
cons.price.idx	0.095	0.240	1.000	0.674	0.041	0.050	0.156	0.664	0.491	0.070	0.003	0.020	0.070	0.676	0.466	-0.263	0.058	0.058	0.384	-0.285	0.133	0.098
contact	0.061	0.417	0.674	1.000	0.032	0.055	0.138	0.229	0.138	0.087	0.003	0.029	0.077	0.611	0.107	-0.222	0.118	0.118	0.243	-0.242	0.128	0.122
custAge	0.006	0.114	0.041	0.032	1.000	0.026	0.143	0.043	0.052	0.008	0.002	0.007	0.258	0.097	0.045	-0.012	-0.000	-0.000	0.115	-0.014	0.251	0.117
day_of_week	0.016	0.044	0.050	0.055	0.026	1.000	0.013	0.033	0.033	0.012	-0.007	0.006	0.014	0.067	0.030	-0.010	-0.014	-0.014	0.018	-0.010	0.017	0.023
default	0.018	0.140	0.156	0.138	0.143	0.013	1.000	0.180	0.172	0.009	0.005	0.000	0.096	0.114	0.160	-0.097	0.081	0.081	0.077	-0.106	0.156	0.180
emp.var.rate	0.158	0.214	0.664	0.229	0.043	0.033	0.180	1.000	0.940	0.053	0.008	0.010	0.071	0.659	0.945	-0.400	0.227	0.227	0.377	-0.435	0.137	0.067
euribor3m	0.144	0.228	0.491	0.138	0.052	0.033	0.172	0.940	1.000	0.055	0.010	0.011	0.070	0.552	0.929	-0.415	0.277	0.277	0.416	-0.453	0.130	0.063
housing	0.024	0.042	0.070	0.087	0.008	0.012	0.009	0.053	0.055	1.000	0.005	0.708	0.009	0.056	-0.037	0.025	-0.013	-0.013	0.019	0.027	0.016	0.010
id	0.009	-0.006	0.003	0.003	0.002	-0.007	0.005	0.008	0.010	0.005	1.000	0.005	0.000	0.005	0.006	-0.003	0.015	0.015	0.009	-0.004	0.011	0.005
loan	0.024	0.009	0.020	0.029	0.007	0.006	0.000	0.010	0.011	0.708	0.005	1.000	0.000	0.021	0.002	0.004	0.003	0.003	0.004	0.002	0.013	0.000
marital	0.005	0.076	0.070	0.077	0.258	0.014	0.096	0.071	0.070	0.009	0.000	0.000	1.000	0.052	-0.075	0.041	-0.040	-0.040	0.039	0.044	0.184	0.114
month	0.047	0.600	0.676	0.611	0.097	0.067	0.114	0.659	0.552	0.056	0.005	0.021	0.052	1.000	-0.365	0.111	-0.045	-0.045	0.241	0.124	0.111	0.095
nr.employed	0.146	0.123	0.466	0.107	0.045	0.030	0.160	0.945	0.929	-0.037	0.006	0.002	-0.075	-0.365	1.000	-0.403	0.289	0.289	0.412	-0.438	0.136	0.068
pastEmail	-0.083	-0.105	-0.263	-0.222	-0.012	-0.010	-0.097	-0.400	-0.415	0.025	-0.003	0.004	0.041	0.111	-0.403	1.000	-0.460	-0.460	0.439	0.916	0.039	0.013
pdays	0.060	-0.079	0.058	0.118	-0.000	-0.014	0.081	0.227	0.277	-0.013	0.015	0.003	-0.040	-0.045	0.289	-0.460	1.000	1.000	0.953	-0.510	0.141	0.058
pmonths	0.060	-0.079	0.058	0.118	-0.000	-0.014	0.081	0.227	0.277	-0.013	0.015	0.003	-0.040	-0.045	0.289	-0.460	1.000	1.000	0.953	-0.510	0.141	0.058
poutcome	0.048	0.369	0.384	0.243	0.115	0.018	0.077	0.377	0.416	0.019	0.009	0.004	0.039	0.241	0.412	0.439	0.953	0.953	1.000	-0.495	0.099	0.043
previous	-0.091	-0.111	-0.285	-0.242	-0.014	-0.010	-0.106	-0.435	-0.453	0.027	-0.004	0.002	0.044	0.124	-0.438	0.916	-0.510	-0.510	-0.495	1.000	0.055	0.019
profession	0.000	0.111	0.133	0.128	0.251	0.017	0.156	0.137	0.130	0.016	0.011	0.013	0.184	0.111	0.136	0.039	0.141	0.141	0.099	0.055	1.000	0.360
schooling	0.000	0.064	0.098	0.122	0.117	0.023	0.180	0.067	0.063	0.010	0.005	0.000	0.114	0.095	0.068	0.013	0.058	0.058	0.043	0.019	0.360	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	custAge	profession	marital	schooling	default	housing	loan	contact	month	day_of_week	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	pmonths	pastEmail	id
0	NaN	admin.	married	NaN	no	no	yes	cellular	sep	wed	2	999	1	failure	-1.1	94.199	-37.5	0.886	4963.6	999.0	2	1
1	35.0	services	married	high.school	no	no	no	cellular	sep	tue	2	3	1	success	-3.4	92.379	-29.8	0.788	5017.5	0.1	2	2
2	50.0	blue-collar	married	professional.course	unknown	yes	no	cellular	may	thu	1	999	1	failure	-1.8	92.893	-46.2	1.327	5099.1	999.0	2	3
3	30.0	admin.	single	university.degree	no	no	no	cellular	aug	wed	1	999	0	nonexistent	1.4	93.444	-36.1	4.964	5228.1	999.0	0	4
4	39.0	services	divorced	high.school	no	yes	no	cellular	nov	tue	1	999	0	nonexistent	-0.1	93.200	-42.0	4.153	5195.8	999.0	0	5
5	NaN	student	single	NaN	no	yes	no	cellular	jul	thu	1	999	0	nonexistent	1.4	93.918	-42.7	4.958	5228.1	999.0	0	6
6	36.0	housemaid	married	basic.4y	no	yes	no	cellular	apr	NaN	7	999	0	nonexistent	-1.8	93.075	-47.1	1.415	5099.1	999.0	0	7
7	30.0	admin.	single	basic.9y	no	yes	no	telephone	jul	thu	1	999	0	nonexistent	1.4	93.918	-42.7	4.963	5228.1	999.0	0	8
8	NaN	blue-collar	single	NaN	no	yes	no	telephone	may	wed	10	999	0	nonexistent	1.1	93.994	-36.4	4.859	5191.0	999.0	0	9
9	NaN	self-employed	married	NaN	no	no	no	cellular	aug	fri	7	999	0	nonexistent	1.4	93.444	-36.1	4.966	5228.1	999.0	0	10

	custAge	profession	marital	schooling	default	housing	loan	contact	month	day_of_week	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	pmonths	pastEmail	id
32940	32.0	blue-collar	married	NaN	no	yes	no	telephone	jun	NaN	1	999	1	failure	-1.7	94.055	-39.8	0.761	4991.6	999.0	4	32941
32941	NaN	technician	married	professional.course	unknown	no	no	telephone	may	tue	1	999	0	nonexistent	1.1	93.994	-36.4	4.856	5191.0	999.0	0	32942
32942	38.0	blue-collar	married	basic.9y	unknown	unknown	unknown	telephone	jun	fri	1	999	0	nonexistent	1.4	94.465	-41.8	4.967	5228.1	999.0	0	32943
32943	36.0	self-employed	single	university.degree	no	no	yes	cellular	apr	tue	2	999	0	nonexistent	-1.8	93.075	-47.1	1.453	5099.1	999.0	0	32944
32944	32.0	admin.	single	university.degree	no	yes	no	cellular	aug	tue	2	999	0	nonexistent	1.4	93.444	-36.1	4.966	5228.1	999.0	0	32945
32945	NaN	technician	married	professional.course	no	yes	no	telephone	may	NaN	1	999	0	nonexistent	1.1	93.994	-36.4	4.857	5191.0	999.0	0	32946
32946	32.0	blue-collar	married	NaN	no	no	yes	cellular	may	thu	4	999	0	nonexistent	-1.8	92.893	-46.2	1.266	5099.1	999.0	0	32947
32947	32.0	services	married	high.school	no	no	no	cellular	may	mon	2	999	0	nonexistent	-1.8	92.893	-46.2	1.299	5099.1	999.0	0	32948
32948	32.0	blue-collar	married	basic.9y	no	yes	no	telephone	jun	wed	1	999	0	nonexistent	1.4	94.465	-41.8	4.959	5228.1	999.0	0	32949
32949	25.0	admin.	single	university.degree	no	no	no	telephone	jun	mon	2	999	0	nonexistent	-2.9	92.963	-40.8	1.260	5076.2	999.0	0	32950

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts